CSML-DTA: Drug Target Affinity Prediction Based on Cross-Scale and Multi-Level Feature Fusion

PEGNet-CDA: A Propagation-Enhanced Graph Network for circRNA-Disease Association Prediction

DualEnc-CDA: Predicting circRNA-Disease Associations via Complementary Structural Encoding

ThermoSonoNet: Deep Learning-Based Temperature Interval Estimation for Real-Time Ultrasound Thermometry

A Hybrid Transformer-GCN Framework for circRNA-Disease Association Prediction

GCM-Net: A Multimodal Fusion Network via Graph Contrastive Learning for MCI-to-AD Conversion Prediction

ProFound-Surv: Empowering Multimodal Cancer Survival Analysis with Pathology Foundation Models via Adaptive Feature Alignment

RCKcat: Reliability-Gated Reaction-Center Augmentation for Enzyme kcat Prediction

FedNLC: Personalized Federated Learning via Inverse-Norm Weighted Aggregation with Local Calibration

Hetero-BioLSTM: A Deep Learning Approach for Neoantigen Immunogenicity Prediction in Enhanced Cancer Immunotherapy

Adaptive MoE Routing and KAN-Transformer with Distillation for Robust Cell Image Classification

Semantic-Topological Graph Reasoning for Language-Guided Pulmonary Screening

HyDAM: A Hybrid Dynamic Aggregation Model for Peptic Ulcer and Bleeding Segmentation in Endoscopic Imaging